Translate multilingual content with DeepL, GPT-4, WordPress, Slack and Sheets
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What to replace before upgrading
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Quality Reviewer (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (15)
- Webhook
n8n-nodes-base.webhook - Schedule Trigger
n8n-nodes-base.scheduleTrigger - Merge
n8n-nodes-base.merge - Edit Fields (Set)
n8n-nodes-base.set - Code
n8n-nodes-base.code - Split Out
n8n-nodes-base.splitOut - DeepL
n8n-nodes-base.deepL - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - AI Agent
@n8n/n8n-nodes-langchain.agent - If
n8n-nodes-base.if - Wordpress
n8n-nodes-base.wordpress - Slack
n8n-nodes-base.slack - Aggregate
n8n-nodes-base.aggregate - Google Sheets
n8n-nodes-base.googleSheets - Respond to Webhook
n8n-nodes-base.respondToWebhook
What it does
Multi-Language Content Translation Pipeline with AI Quality Control This workflow provides a professional-grade translation pipeline that combines the speed of DeepL with the intelligent reasoning of OpenAI's GPT-4. It is designed to help teams scale their global content reach without sacrificing linguistic accuracy or cultural nuance. Who’s it for This template is ideal for content managers, digital marketing teams, and global publishers who need to localize high volumes of articles or documentation while maintaining a "human-in-the-loop" quality standard. How it works The workflow automates the entire translation lifecycle through the following steps: 1. Trigger: Content is ingested via a Webhook or a recurring Schedule. 2. Translation: The source text is translated into multiple target languages simultaneously using the DeepL API. 3. AI Quality Guard: An OpenAI agent evaluates each translation, assigning a quality score based on accuracy and fluency. 4. Automated Publishing: Content that meets your quality threshold is automatically uploaded as a draft to WordPress. 5. Manual Review: Any translations that fall below the threshold are flagged in Slack for human intervention. 6. Data Logging: All results are saved to Google Sheets to build a searchable translation memory. How to set up 1. Credentials: Connect your DeepL, OpenAI, WordPress, Slack, and Google Sheets accounts. 2. Configuration: In the 'Translation Configuration' node, define your source language and a list of target languages (e.g., DE, FR, JA). 3. Google Sheets: Create a sheet with headers: contentId, title, sourceLanguage, targetLanguage, translatedText, and qualityScore. 4. Slack: Choose the notification channels for alerts and summary reports. Requirements - DeepL API key - OpenAI API key (GPT-4o or GPT-4o-mini recommended) - WordPress site with Application Passwords enabled - A Slack workspace and a Google Sheets account How to customize the workflow - Adjust Quality Standards: Change the qualityThreshold value in the configuration node to make the AI verification more or less strict. - Add Platforms: Replace the WordPress node with other CMS nodes like Ghost, Strapi, or Contentful to match your stack. - Advanced QA: Modify the AI Quality Reviewer’s prompt to focus on specific brand guidelines or industry terminology.